Anchor Pipeline Mitigates Artifact Drift in AI Agent Benchmark Generation
A new task-generation pipeline named Anchor has been developed by researchers to tackle the issue of artifact drift in benchmarks for AI agents. This phenomenon arises when instructions, environments, oracles, and verifiers are produced through loosely connected processes, resulting in inconsistent or unsolvable tasks. Anchor translates the specifications of business workflows from domain experts into constraint optimization programs, generating natural-language instructions, environment setups, solver-validated ground-truth solutions, and state-based verifiers from one parametric specification. This method guarantees both consistency and verifiability, facilitating the controlled scaling of difficulty for evaluating enterprise AI agents.
Key facts
- Anchor is a task-generation pipeline for AI agent benchmarks.
- It mitigates artifact drift in environment and task creation.
- Artifact drift causes unsolvable, reward-hackable, or inconsistent environments.
- Anchor uses constraint optimization programs from domain expert specifications.
- It jointly produces instruction, environment, solution, and verifier from one specification.
- Altering parameters yields new tasks with controlled difficulty.
- The pipeline targets enterprise business operations tasks.
- The work is published on arXiv with ID 2605.26321.
Entities
Institutions
- arXiv